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Integrating built environment and parking policy for car commuting reduction: evidence from Beijing
Predicting the future development scale of high-speed rail through the urban scaling law
Models and algorithms for multi-crane oriented scheduling method in container terminals
Vibration-based Damage Detection in Bridges via Machine Learning
Vibration-based Damage Detection in Bridges via Machine Learning
Road to price: User perspectives on road pricing in transition country
Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning
Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning
A data-driven travel mode share estimation framework based on mobile device location data
The Impact of Travel Time Information on Travelers’ Learning under Uncertainty
Machine learning approach for spatial modeling of ridesourcing demand
Understanding market competition between transportation network companies using big data
Exploring built environment correlates of walking for different purposes: Evidence for substitution
Congestion in cities: Can road capacity expansions provide a solution?
DeepAD: An integrated decision-making framework for intelligent autonomous driving